Fortemedia, Inc.

Yen-Son Paul Huang

Ming Zhang

Tsung-Lung Yang

Bo-Ren Bai

Lung-Chu Joseph Chen

Iou-Din Jean Chen

James Juei Son Lin

Zhen Hou

Shih-Chin Gong

Qing-Guang Liu

Feng Yang

Yu-Xuan Xu

Wilson Or

Xiao Ying Lin

Qing Liu

Hang Yu

Qiang Wei

Younan Lu

Powen Ru

Yaying Liu

Shih-Chung Wang

Ching-Lung Chan

A method for touchless gesture recognition is provided. The method includes transmitting ultrasonic signals via a speaker. The method includes generating ultrasonic signals. The method includes receiving the reflected ultrasonic signals from an object via two or more microphones. The method includes computing a frequency shift according to the reflected ultrasonic signals. The method includes identifying a gesture that corresponds to a movement of the object according to the frequency shift. The method includes performing a function that corresponds to the gesture.

Method for touchless gesture recognition, and apparatuses using the same

A small-array MEMS (micro-electro mechanical system) microphone apparatus is provided. The apparatus includes first and second microphone modules. A first microphone of the first microphone module captures a first acoustic signal from a sound source through a first acoustic hole. A second microphone of the second microphone module captures a second acoustic signal from the sound source through a second acoustic hole. A first integrated circuit performs a first logic operation on the first acoustic signal and the second acoustic signal to generate a first sum acoustic signal. The first integrated circuit performs a sampling delay on the second acoustic signal with a first clock signal, and subtracts the delayed second acoustic signal from the first acoustic signal to obtain a first differential acoustic signal. The first differential acoustic signal has a first directivity. A second integrated circuit bypasses and outputs the second acoustic signal which is omnidirectional.

Small-array MEMS microphone apparatus and noise suppression method thereof

A microphone apparatus is provided. The microphone apparatus includes a microphone cover; a circuit board, an integrated circuit, a first microphone, and a second microphone. The integrated circuit is coupled to the microphone cover and the circuit board to form a first chamber and a second chamber. The first microphone is placed inside the first chamber and configured to capture a first acoustic signal from a sound source. The second microphone is placed inside the second chamber and configured to capture a second acoustic signal from the sound source. The first microphone and the second microphone have the same sensitivity, phase, and omni-directivity. The integrated circuit performs a time-delay process on the second acoustic signal and subtracts the time-delayed second acoustic signal from the first acoustic signal to generate a differential signal. The integrated circuit forms a polar pattern of the microphone apparatus according to the differential signal.

Microphone apparatus and method of adjusting directivity thereof

An acoustic capture device includes an acoustic transducer, an acoustic detector, an analog-to-digital converter, and a processing element. The acoustic transducer captures an acoustic wave to generate an analog signal. The acoustic detector detects, according to the analog signal, a specific event to generate a trigger signal. The analog-to-digital converter converts the analog signal to generate a digital signal. The processing element receives the trigger signal to execute a control process. The control process includes: analyzing the digital signal to determine ambient information; determining a first set of parameters of the acoustic detector according to the ambient information; performing a control information protocol to adjust the acoustic detector according to the first set of parameters; and performing, according to the ambient information, an enhancement processing on the digital signal to generate an enhanced digital signal.

Acoustic capture devices and methods thereof

An audio device and a method thereof are provided. The method is adopted by an audio device to detect a voice, wherein the audio device is coupled to a host device. The method includes an acoustic conversion circuit converting an acoustic wave into an analog audio signal; an analog-to-digital converter (ADC) converting the analog audio signal into digital audio data; a first-level voice detection circuit detecting voice activity in the analog audio signal; a second-level voice detection circuit detecting a beginning syllable of a key phrase in the digital audio data when the voice activity is detected in the digital audio data; and a third-level voice detection circuit detecting the key phrase from the digital audio data only when the beginning syllable of the key phrase is detected in the digital audio data.

Audio device for recognizing key phrases and method thereof

An electronic device is provided. The electronic device includes a case, an acoustic boot, a first microphone and a second microphone. The case includes a first acoustic opening, a second acoustic opening. The acoustic boot comprises a first duct and a second duct, the first duct is connected to the first acoustic opening, and the second duct is connected to the second acoustic opening. The first microphone is connected to the first duct. The second microphone is connected to the second duct.

Implementation of microphone array housing receiving sound via guide tube

An electronic device is provided. The electronic device includes a case, a microphone array housing consists of a first acoustic extending structure, a second acoustic extending structure, an interface IC, a first membrane and a second membrane. The case includes a first acoustic opening and a second acoustic opening. The first acoustic extending structure is connected to the first acoustic opening. The second acoustic extending structure is connected to the second acoustic opening. The first membrane receives a first acoustic signal via the first acoustic opening and the first acoustic extending structure. The second membrane receives a second acoustic signal via the second acoustic opening and the second acoustic extending structure.

Microphone array housing with acoustic extending structure and electronic device utilizing the same

A pen-type voice computer generating a voice index table and the method thereof. The method comprises recording voice data by a microphone, generating a handwriting index of the voice data by inputting drawing data using a handwriting input device, and associating the handwriting index with the corresponding voice data to generate the voice index table.

Pen-type voice computer and method thereof

A voice recognition system and method thereof. The communication system comprises a setup controller, a voice recognition controller, and an application controller. The setup controller receives a voice keyword table including a voice recognizable keyword and a corresponding application instruction. The voice recognition controller, coupled to the setup controller, receives the voice keyword table from the setup controller, receives a first voice input, and matches a first voice input to the voice recognizable keyword to determine the corresponding application instruction. The application controller, coupled to the voice recognition controller, receives and performs the corresponding application instruction. The setup controller, the voice recognition controller, and the application controller communicate through wireless communication.

Voice recognition system and method thereof

An improved voice recognition system in which a Voice Keyword Table is generated and downloaded from a set-up device to a voice recognition device. The VKT includes visual form data, spoken form data, phonetic format data, and an entry corresponding to a keyword, and TTS-generated voice prompts and voice models corresponding to the phonetic format data. A voice recognition system on the voice recognition device is updated by the set-up device. Furthermore, voice models in the voice recognition device are modified by the set-up device.

Method, system and apparatus for improved voice recognition

A pen-type computer includes a pen barrel, a sensor, a primary processor, and a storage device. The pen barrel has a writing tip. The sensor is disposed in the pen barrel, sensing movement of the writing tip and generating a tracking signal corresponding to the movement of the writing tip. The primary processor is disposed in the pen barrel, encoding the tracking signal into data and storing the data in the storage device.

Pen-type computer

A hands-free voice communication apparatus with integrated speakerphone and earpiece is described. The speakerphone includes a loudspeaker and zero, one or multiple microphones. The earpiece includes a small loudspeaker, one or more microphones, a wireless module, and a digital signal processing (DSP) module. The hands-free device support hands-free voice communication via the speakerphone or the earpiece. The earpiece is functional when removed from the speakerphone case and may be used for voice communication with privacy. When the earpiece is placed back in the speakerphone case, the speakerphone is functional and may be used for voice communication with convenience. The DSP module performs digital signal processing for both the earpiece and the speakerphone, e.g., using different sets of parameters. The speakerphone may be a standalone device or may be part of a communication device. The wireless module communicates with the communication device, which provide end-to-end communication with a far-end user.

Hands-free voice communication apparatus with integrated speakerphone and earpiece

Techniques to suppress noise from a signal comprised of speech plus noise. In accordance with aspects of the invention, two or more signal detectors (e.g., microphones) are used to detect respective signals having speech and noise components, with the magnitude of each component being dependent on various factors such as the distance between the speech source and the microphone. Signal processing is then used to process the detected signals to generate the desired output signal having predominantly speech with a large portion of the noise removed. The techniques described herein may be advantageously used for both near-field and far-field applications, and may be implemented in various mobile communication devices such as cellular phones.

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Los Altos Hills, CA, United States of America

Yen-Son Paul Huang